A machine learning approach to coreference resolution of noun phrases
Computational Linguistics - Special issue on computational anaphora resolution
Multi-lingual coreference resolution with syntactic features
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
LIBLINEAR: A Library for Large Linear Classification
The Journal of Machine Learning Research
FeatureEng '05 Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing
Supervised noun phrase coreference research: the first fifteen years
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A global relaxation labeling approach to coreference resolution
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Syntactic processing using the generalized perceptron and beam search
Computational Linguistics
Exploring lexicalized features for coreference resolution
CONLL Shared Task '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task
CoNLL-2012 shared task: Modeling Multilingual Unrestricted Coreference in OntoNotes
CoNLL '12 Joint Conference on EMNLP and CoNLL - Shared Task
| Hi-index | 0.00 |
This paper describes our contribution to the CoNLL 2012 Shared Task. We present a novel decoding algorithm for coreference resolution which is combined with a standard pair-wise coreference resolver in a stacking approach. The stacked decoders are evaluated on the three languages of the Shared Task. We obtain an official overall score of 58.25 which is the second highest in the Shared Task.